Update louvain_communities to match NetworkX 3.3 (added max_level)

python/nx-cugraph/_nx_cugraph/__init__.py

@@ -164,7 +164,6 @@
         },
         "louvain_communities": {
             "dtype : dtype or None, optional": "The data type (np.float32, np.float64, or None) to use for the edge weights in the algorithm. If None, then dtype is determined by the edge values.",
-            "max_level : int, optional": "Upper limit of the number of macro-iterations (max: 500).",
         },
         "pagerank": {
             "dtype : dtype or None, optional": "The data type (np.float32, np.float64, or None) to use for the edge weights in the algorithm. If None, then dtype is determined by the edge values.",

python/nx-cugraph/nx_cugraph/algorithms/community/louvain.py

@@ -12,6 +12,7 @@
 # limitations under the License.
 import warnings
 
+import networkx as nx
 import pylibcugraph as plc
 
 from nx_cugraph.convert import _to_undirected_graph
@@ -25,13 +26,21 @@
 
 __all__ = ["louvain_communities"]
 
+# max_level argument was added to NetworkX 3.3
+if nx.__version__[:3] <= "3.2":
+    _max_level_param = {
+        "max_level : int, optional": (
+            "Upper limit of the number of macro-iterations (max: 500)."
+        )
+    }
+else:
+    _max_level_param = {}
+
 
 @not_implemented_for("directed")
 @networkx_algorithm(
     extra_params={
-        "max_level : int, optional": (
-            "Upper limit of the number of macro-iterations (max: 500)."
-        ),
+        **_max_level_param,
         **_dtype_param,
     },
     is_incomplete=True,  # seed not supported; self-loops not supported
@@ -44,9 +53,9 @@ def louvain_communities(
     weight="weight",
     resolution=1,
     threshold=0.0000001,
+    max_level=None,
     seed=None,
     *,
-    max_level=None,
     dtype=None,
 ):
     """`seed` parameter is currently ignored, and self-loops are not yet supported."""
@@ -82,9 +91,9 @@ def _(
     weight="weight",
     resolution=1,
     threshold=0.0000001,
+    max_level=None,
     seed=None,
     *,
-    max_level=None,
     dtype=None,
 ):
     # NetworkX allows both directed and undirected, but cugraph only allows undirected.

python/nx-cugraph/nx_cugraph/interface.py

@@ -257,6 +257,12 @@ def key(testpath):
                             ): different_iteration_order,
                         }
                     )
+                elif nxver.minor >= 3:
+                    xfail.update(
+                        {
+                            key("test_louvain.py:test_max_level"): louvain_different,
+                        }
+                    )
 
         too_slow = "Too slow to run"
         skip = {

python/nx-cugraph/nx_cugraph/tests/test_match_api.py

@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -14,10 +14,13 @@
 import inspect
 
 import networkx as nx
+from packaging.version import parse
 
 import nx_cugraph as nxcg
 from nx_cugraph.utils import networkx_algorithm
 
+nxver = parse(nx.__version__)
+
 
 def test_match_signature_and_names():
     """Simple test to ensure our signatures and basic module layout match networkx."""
@@ -41,6 +44,11 @@ def test_match_signature_and_names():
         else:
             orig_func = dispatchable_func.orig_func
 
+        if nxver.major == 3 and nxver.minor <= 2 and name == "louvain_communities":
+            # The signature of louvain_communities changed in NetworkX 3.3, and
+            # we updated to match, so we skip this check in older versions.
+            continue
+
         # Matching signatures?
         orig_sig = inspect.signature(orig_func)
         func_sig = inspect.signature(func)